DocumentCode :
43965
Title :
GSICS Inter-Calibration of Infrared Channels of Geostationary Imagers Using Metop/IASI
Author :
Hewison, T.J. ; Xiangqian Wu ; Fangfang Yu ; Tahara, Yasuyuki ; Xiuqing Hu ; DoHyeong Kim ; Koenig, M.
Author_Institution :
EUMETSAT, Darmstadt, Germany
Volume :
51
Issue :
3
fYear :
2013
fDate :
Mar-13
Firstpage :
1160
Lastpage :
1170
Abstract :
The first products of the Global Space-based Inter-Calibration System (GSICS) include bias monitoring and calibration corrections for the thermal infrared (IR) channels of current meteorological sensors on geostationary satellites. These use the hyperspectral Infrared Atmospheric Sounding Interferometer (IASI) on the low Earth orbit (LEO) Metop satellite as a common cross-calibration reference. This paper describes the algorithm, which uses a weighted linear regression, to compare collocated radiances observed from each pair of geostationary-LEO instruments. The regression coefficients define the GSICS Correction, and their uncertainties provide quality indicators, ensuring traceability to the selected community reference, IASI. Examples are given for the Meteosat, GOES, MTSAT, Fengyun-2, and COMS imagers. Some channels of these instruments show biases that vary with time due to variations in the thermal environment, stray light, and optical contamination. These results demonstrate how inter-calibration can be a powerful tool to monitor and correct biases, and help diagnose their root causes.
Keywords :
artificial satellites; atmospheric techniques; calibration; meteorological instruments; regression analysis; sensors; stray light; COMS imager; Fengyun-2 imager; GOES imager; GSICS Correction; Global Space-based InterCalibration System; MTSAT imager; Meteosat imager; Metop/IASI; bias monitoring; calibration corrections; community reference IASI; cross-calibration reference; geostationary imagers; geostationary satellites; geostationary-LEO instruments; hyperspectral Infrared Atmospheric Sounding Interferometer; low Earth orbit Metop satellite; meteorological sensors; optical contamination; quality indicators; regression coefficients; stray light; thermal environment; thermal infrared channels; weighted linear regression; Calibration; Instruments; Low earth orbit satellites; Meteorology; Monitoring; Uncertainty; Calibration; earth observing system; infrared image sensors; international collaboration; meteorology; satellites;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2013.2238544
Filename :
6450081
Link To Document :
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